الرئيسية المنصة الوثائق الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Question Answering On Trecqa

المقاييس

MAP

MRR

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

			Paper Title	Repository
TANDA DeBERTa-V3-Large + ALL	0.954	0.984	Structural Self-Supervised Objectives for Transformers
TANDA-RoBERTa (ASNQ, TREC-QA)	0.943	0.974	TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
DeBERTa-V3-Large + SSP	0.923	0.946	Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection	-
Contextual DeBERTa-V3-Large + SSP	0.919	0.945	Context-Aware Transformer Pre-Training for Answer Sentence Selection	-
RLAS-BIABC	0.913	0.998	RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm	-
RoBERTa-Base Joint + MSPP	0.911	0.952	Paragraph-based Transformer Pre-training for Multi-Sentence Inference
RoBERTa-Base + PSD	0.903	0.951	Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection	-
Comp-Clip + LM + LC	0.868	0.928	A Compare-Aggregate Model with Latent Clustering for Answer Selection	-
NLP-Capsule	0.7773	0.7416	Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
HyperQA	0.770	0.825	Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
PWIN	0.7588	0.8219	-	-
aNMM	0.750	0.811	aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
CNN	0.711	0.785	Deep Learning for Answer Sentence Selection

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